AAAI 2026

4,920 papers

Constraint-Augmented Mongolian-Chinese Neural Machine Translation Based on Dynamic Feedback Alignment (Student Abstract)

Shuting Dai, Yatu Ji, Yanli Wang, Lei Shi, Qing-Dao-Er-Ji Ren

Multimodal Coarse-to-Local Transformer for End-to-End Autonomous Driving (Student Abstract)

Yeryeong Cho, Joongheon Kim

Fine-Tuning Sample Order Matters in Propositional Logical Question-Answering (Student Abstract)

Fengxiang Cheng, Chuan Zhou, Fenrong Liu, Robert Van Rooij

Multi-Modal Interactive Control of Robotic Arm Based on Offline Large Language Models (Student Abstract)

Hanxiao Chen

Sleep-Like Replay Reduces Loss-Landscape Sharpness to Improve Generalization (Student Abstract)

Krishi Chawda, Jean Erik Delanois, Giri P Krishnan, Maksim Bazhenov

IMPACT: Integrated Multimodal Pipeline for Rapid Accident Causality Tracking (Student Abstract)

Vashu Chauhan, Avinash Anand, Manisha Luthra, Uelison Jean Lopes dos Santos, Carsten Binnig

AEFGL: Reverse Auction and Value Evaluation-Based Federated Graph Learning Incentive Mechanism (Student Abstract)

Xin Chang, Lixin Liu, Jingyu Wang, Jinling Yu, Xiaolin Zhang

WingBeats and Snapshots: Fusing Sound and Vision for Mosquito Monitoring (Student Abstract)

Ahana Chanda, Akshay Agarwal

Discovering Linear Non-Gaussian Models for All Categories of Missing Data (Student Abstract)

Matteo Ceriscioli, Shohei Shimizu, Karthika Mohan

Bi-Level Preference Optimization for Retrieval-Augmented Generation (Student Abstract)

Sizhong Cao

AdaptDiff: Adaptive Guidance in Diffusion Models for Diverse and Identity-Consistent Face Synthesis (Student Abstract)

Eduarda Caldeira, Tahar Chettaoui, Naser Damer, Fadi Boutros

PT-DCFR: Accelerating and Improving Deep CFR Using Population Based Training (Student Abstract)

Dingzhong Cai, Huale Li, Hang Xiao, Shuhan Qi, Jiajia Zhang

Always Refuse: Steering LLMs Against Jailbreaks with Contrastive Activations (Student Abstract)

Abhilekh Borah, Niranjan Chebrolu, Kokil Jaidka

Network Restoration Games with Quotas (Student Abstract)

Philip Bogaars, Argyrios Deligkas, Eduard Eiben, Michail Fasoulakis

3D Gaussian Splatting for Reconstructing Large Sparse Environments (Student Abstract)

Jonathan Boel Nielsen, Xuan Huy Pham, Erdal Kayacan, Andriy Sarabakha

Zero-Shot Vision Language Reasoning via Dual-layer Scene Graph Chain of Thoughts (Student Abstract)

Yash Bansal, Parshiv Kapoor, Agam Pandey

Fusing Time-Domain and Constellation Views: A Multimodal MAE for Wireless Signals (Student Abstract)

Agniva Banerjee, Arijit Sen

Weight Entropy-Maximised Evidential Metamodel for Uncertainty Quantification (Student Abstract)

Gouranga Bala, Abhimanyu Chauhan, Amit Sethi

Dynamics-Aware Planning Representation for Zero-Shot Reinforcement Learning (Student Abstract)

Jungho An, Taeyoung Kim, Haeun Kim, Dongsoo Har

Robust Adaptive Multi-Step Predictive Shielding (Student Abstract)

Tanmay Ambadkar, Darshan Chudiwal, Greg Anderson, Abhinav Verma

Diffusion for Combating the Hallucination in Large Language Models (Student Abstract)

Hyojun Ahn, Joongheon Kim

Adaptive AI for Personalized Intercultural Communication Education: A Conversational Agent Powered by Retrieval-Augmented Generation (Student Abstract)

Mohamed Ahmed, Hyesun Choung

AniTales: End-to-End Multimodal Story Generation Through Natural Language Prompting (Student Abstract)

Mrigendra Agrawal, Yunze Xiao

Object-Centric Data Synthesis for Category-level Object Detection (Student Abstract)

Vikhyat Agarwal, Jiayi Cora Guo, Declan Hoban, Sissi Zhang, Nicholas Moran

LaFINet: Laplacian-Based Frequency Injection Network for Camouflage Object Detection (Student Abstract)

Aravinthakshan A S, Aditya Prashant Naidu, Aadiv Rath

Fusing Deep Learning and Fuzzy Logic: A Framework for Adaptive and Scalable Interpretability

Yumin Zhou

Towards Fairness in Transportation Gig Markets: Identifying, Imitating, and Mitigating Algorithm Discrimination via Deep Reinforcement Learning

Zijian Zhao

Optimisation Problems in Constrained Machine Learning

Ruihan Zhang

On the Computational Tractability of Probabilistic Global and Local Sufficient Explanation

Xiliang Yang

Trustworthy AI-Assisted Programming: Detection and Repair of Unreliable Code

Jian Wang

Improve Molecular Conformation Modeling with Geometric Deep Learning

Fanmeng Wang

Learning Through Concepts: Hierarchies, Logic and Reasoning

Deepika SN Vemuri

Factuality Evaluation Using Reasoning and World Modeling

Sachin Vashistha

Value-Driven Memory-Augmented Generation for Agentic LLMs: Towards Structured and Adaptive Knowledge Utilization

Cassandra Hui-Ming Tan

Economics of Content Creation with Generative AI

Boaz Taitler

Wearable Intelligence for Healthcare Robotics: From Brain Activity to Body Movements

Jiankai Sun

Designing Incentives for Networked Multi-agent Systems

Xinwei Song

Efficient Robot Learning from Diverse Data

Chang Shi

Next Generation of Empirical Performance Prediction

Hadar Shavit

Formal Verification of Neural ODE for Safety Evaluation in Autonomous Vehicles

Abdelrahman Sayed Sayed

Exploiting Graph-Based Structural Priors for Visual Recognition

Depanshu Sani

Aniket Roy

Creating Generalizable Data-Driven Approaches for Biodiversity Monitoring via Acoustics

Thomas Napier

Towards Robust Human–AI Decision-Making via Learning-to-Defer

Yannis Montreuil

Memorization and Expressivity in Transformers: A Learning-Theoretic Perspective

Maxime Meyer

Multi-Robot Learning from Human Feedback

Connor Mattson

Towards Robust and Interpretable Event–Frame Fusion for Autonomous Driving

Dongyue Lu

Ethical Decision-making with AI: Value Alignment and the Role of Reasoning

Samarth Khanna

Multimodal Tabular Data Learning

Jun-Peng Jiang

Learning to Transform: Unifying Latent Geometric Shape and Appearance Representations in Healthcare Imaging

Tonmoy Hossain

Time-Series Anomaly Detection with Graph-Based Self-Supervised Learning and Foundation Models: Towards Real-World Applications

Thi Kieu Khanh Ho

Trustworthy Autonomy Without Human Intervention in Uncertain Domains

Michelle Ho

Exploring the Janus Face of Synthetic Images: From Privacy-secure Biometrics to Universal and Robust Deepfake Detection

Tanusree Ghosh

Scaling Up Cooperative Multi-Agent Reinforcement Learning Through Hierarchical Heterogeneous Modular Architectures

Minghong Geng

From Decisions to Multiplicity: Frameworks, Theories, and Applications

Prakhar Ganesh

Knowledge-Based Stable Roommates Problems

Müge Fidan

Advancing Out-of-Distribution Detection Across Diverse Scenarios

Xiang Fang

Empowering LLMs with Symbolic Representation and Reasoning

Fengxiang Cheng

Interpretable Adversarial Reinforcement Learning

Oliver Chang

Eliciting Causal Knowledge from Agents

Matteo Ceriscioli

Flexible, Lifelong, Explainable, and Robust Solutions for Multi-Agent Path Finding Problems

Aysu Bogatarkan

Specification-Guided Reinforcement Learning

Tanmay Ambadkar

Theory-of-Mind in Partially Observed, Mixed-Motive Games

Nitay Alon

Conceptualisation and Implementation of Human-centric Privacy Preserving Framework for Explainable AI

Sonal Allana

Towards Offline Imitation Learning: Strictly Batch Settings, Generalization, and Variability in Expertise

Rishabh Agrawal

Discovering Hybrid World Representations with Co-Evolving Foundation Models

Jiajun Wu, Yunzhi Zhang, Hong-Xing Yu, Joy Hsu, Jiayuan Mao

On the Dataless Training of Neural Networks

Alvaro Velasquez, Susmit Jha, Ismail R. Alkhouri

Machine Learning Models Assisting the Development of Antibody Therapeutics and Vaccines – an Emerging Trend

Felipe Leno Da Silva, Mikel Landajuela, Edwin A. Saada, Piyush Karande, Sudeep Sarma

Toward Artificial Metacognition

Paulo Shakarian

Multi-Objective Search: Algorithms, Applications, and Emerging Directions

Oren Salzman, Carlos Hernandez Ulloa, Ariel Felner, Sven Koenig

AI-Driven Marine Robotics: Emerging Trends in Underwater Perception and Ecosystem Monitoring

Scarlett Raine, Tobias Fischer

Towards a Common Framework for Autoformalization

Agnieszka Mensfelt, David Tena Cucala, Santiago Franco, Angeliki Koutsoukou-Argyraki, Vince Trencsenyi

Conversational AI for Social Good (CAI4SG): An Overview of Emerging Trends, Applications, and Challenges

Yi-Chieh Lee, Junti Zhang, Tianqi Song, Yugin Tan

The Future Is Neuro-Symbolic: Where Has It Been, and Where Is It Going?

Vaishak Belle, Gary Marcus

Explanations for Sequential Decision-Making – an Overview

Hendrik Baier, Mark T. Keane, Sarath Sreedharan, Silvia Tulli, Abhinav Verma

Model AI Assignments 2026

Todd W. Neller, Steve Geinitz, Kevin Wang, Zach Dodds, Nicholas Dodds

TacpAgent: Enhancing Student Engagement in Classroom Exercises Through LLM-Generated Feedback

Wanlu Zhang, Jia Zhu, Xi Yang, Weijie Shi, Yue Cui

Context Selection and Rewriting for Video-based Educational Question Generation

Mengxia Yu, Bang Nguyen, Olivia Zino, Meng Jiang

Graph RAG for Automated Short Answer Grading with Feedback: Bridging Pedagogical Needs and Technical Capabilities

Guoliang Xu, James Corter

SlideBot: A Multi-Agent Framework for Generating Informative, Reliable, Multi-Modal Presentations

Eric Xie, Danielle Waterfield, Michael Kennedy, Aidong Zhang

AutoSCORE: Enhancing Automated Scoring with Multi-Agent Large Language Models via Structured Component Recognition

Yun Wang, Zhaojun Ding, Xuansheng Wu, Siyue Sun, Ninghao Liu

Generative AI as a Cognitive Co-Participant: Disciplinary Modulation of EFL Academic Reading Load and Motivation

Yingqi Wang, Xiaohang Luo

How Does LLM-powered Coding Assistance Shape Incidental Learning? Exploring Cognitive Forcing Strategies in Programming Education

Ba-Thinh Tran-Le, Patrick Thomas, Nicholas M. Stiffler, Thuy Ngoc Nguyen

SAGE: A Compositional Multi-Agent LLM Framework with Pedagogical Reasoning for Structured Collaborative Problem Solving

Van-Khanh Tran, Van-Khai Dang, Duc-Huy Nguyen

Thinking Through the Hands: An Exploratory Study of Hand Movements to Assess Students Problem-Solving in Mechanistic Reasoning Tasks

Harshil Safi, Megha Bansal, Madhu Vadali, Barbara Bruno, Aditi Kothiyal

Explain-from-Stroke: Capturing Invisible Learning Processes Through Handwriting Dynamics Analysis

Ryosuke Nakamoto, Brendan Flanagan, Kohei Nakamura, Hiroaki Ogata

“Debate Guru”: Honing Public Speaking Skills Among Secondary School Students with AI Tutoring Systems

Zachary Nadan, Nathan Goldberg, Roozbeh Aliabadi, Shuhan Li

A Dialogue-Based Learning Analytics Framework for Collaborative Game-Based Learning

Yeo Jin Kim, Daeun Hong, Tianshu Wang, Wookhee Min, Snigdha Chaturvedi

Generalizable and Efficient Automated Scoring with a Knowledge-Distilled Multi-Task Mixture-of-Experts

Luyang Fang, Tao Wang, Ping Ma, Xiaoming Zhai

An Explanation-Based Classroom Response System for Real-Time Analysis of Undergraduate Students’ Natural Language Explanations

Jordan Esiason, Priyanka Khare, Claire Aguiar, Dan Carpenter, Wookhee Min

Speaker Anonymization for Children's Oral Reading Assessment

Sandipan Dhar, Srikanth Raj Chetupalli, Preeti Rao

From Embeddings to Chatbots: Playful NLP Activities for Middle School AI Literacy

Jessica Vandenberg, Alex Goslen, Claire Aguiar, Wookhee Min, Veronica Cateté

Co-Designing Unplugged Learning Activities with K-2 Teachers for Early AI Literacy Education

Jessica Vandenberg, Keisha Bailey, Claire Aguiar, Cecilia Xuning Zhang, Danny Schmidt

Bot Blitz: A Scalable Hands-On Workshop for Teaching AI and Robotics Concepts Through Narrative-Driven Problem Solving

Sandra Roach, Karis Boyd-Sinkler, Visrut Sudhakar, Shaundra Daily, Miroslav Pajic

Catching the First Light of Tomorrow: A Hackathon-Based Framework for Introducing High School Students to AI Agents

Long Nguyen, Duc Nguyen, Quan Bui, Dung Phan, Dung Le

Games of Representation: Developing Card-Based Activities to Teach About Representation and Bias in AI Datasets

Katherine S. Moore, Helen Zhang, Irene Lee

Breakable Machine: A K–12 Classroom Game for Transformative AI Literacy Through Spoofing and eXplainable AI (XAI)

Olli Hilke, Nicolas Pope, Juho Kahila, Henriikka Vartiainen, Teemu Roos

Beetrap-MC: A Minecraft-Based AI Literacy Tool for Teaching Filter Bubbles to Middle School Students

Erfan Farhadi, Kenneth Fei, Yifan Jiang, Zhen Bai

AI Education Across the Curriculum: Design and Pilot Study of a Cross-Disciplinary Module Set

Jie Chao, Rebecca Ellis, Shiyan Jiang, Daria Smyslova, Qiuqing Li

Situating Youth Agency in Designing AI & Art Policies

Safinah Ali, Ayat Abodayeh, Vishesh Kumar, Cynthia Breazeal